Magnetic resonance imaging (MRI) is a non-invasive medical imaging technique that uses strong magnetic fields and radiofrequency pulses to generate detailed cross-sectional and three-dimensional images of the body's internal structures without ionizing radiation. By measuring how hydrogen nuclei in tissues respond t…
Magnetic resonance imaging (MRI) is a non-invasive medical imaging technique that uses strong magnetic fields and radiofrequency pulses to generate detailed cross-sectional and three-dimensional images of the body's internal structures without ionizing radiation. By measuring how hydrogen nuclei in tissues respond to the magnetic field, MRI produces high-contrast images that distinguish soft tissues, making it especially valuable for examining the brain, spinal cord, and other organs. In a neuroinformatics context, MRI is a primary source of the structural and functional data that are stored, processed, and analyzed computationally to study the nervous system. Functional MRI (fMRI) maps activity by tracking blood-oxygen-level changes, while diffusion-weighted imaging characterizes water movement to probe tissue microstructure; both feed quantitative pipelines for segmentation, registration, and statistical analysis. The technique supports diagnosis, treatment planning, and research across oncology, neurology, and many other fields. Work in this journal and across related OpenAccessPub titles reflects these applications, including functional MRI study of the human visual cortex and astigmatism, diffusion-weighted imaging for diagnosing cholesteatoma, multimodality imaging for radiosurgery target-volume definition, characterization of soft-tissue and intracranial tumors, and imaging-based diagnosis of rare and complex clinical syndromes.
12 peer-reviewed articles, ranked by relevance. Each links to its DOI.
The 12 articles above have been cited 74 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
A sample of recent works citing this journal's research on Magnetic Resonance Imaging, linking to each citing work.